{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Networkx_Draw_Graph.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "nlZj0JcQI_FJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        },
        "outputId": "851bc062-714a-4675-c97c-56ccd363eff2"
      },
      "source": [
        "#coding=utf-8\n",
        "#https://networkx.github.io/documentation/stable/reference/generated/networkx.drawing.nx_pylab.draw_networkx.html#networkx.drawing.nx_pylab.draw_networkx\n",
        "#MSC means Multiple Spectral Clustering\n",
        " \n",
        "import numpy as np\n",
        " \n",
        "import scipy as sp\n",
        " \n",
        "import scipy.linalg as linalg\n",
        " \n",
        "import networkx as nx\n",
        " \n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#g=nx.karate_club_graph()\n",
        "edge_index = [[0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8], [0, 10], [0, 11], [0, 12], [0, 13], [0, 17], [0, 19], [0, 21], [0, 31], [1, 2], [1, 3], [1, 7], [1, 13], [1, 17], [1, 19], [1, 21], [1, 30], [2, 3], [2, 7], [2, 8], [2, 9], [2, 13], [2, 27], [2, 28], [2, 32], [3, 7], [3, 12], [3, 13], [4, 6], [4, 10], [5, 6], [5, 10], [5, 16], [6, 16], [8, 30], [8, 32], [8, 33], [9, 33], [13, 33], [14, 32], [14, 33], [15, 32], [15, 33], [18, 32], [18, 33], [19, 33], [20, 32], [20, 33], [22, 32], [22, 33], [23, 25], [23, 27], [23, 29], [23, 32], [23, 33], [24, 25], [24, 27], [24, 31], [25, 31], [26, 29], [26, 33], [27, 33], [28, 31], [28, 33], [29, 32], [29, 33], [30, 32], [30, 33], [31, 32], [31, 33], [32, 33]]\n",
        "node_labels = [0,0,0,0,0,0,0,0,0, 1, 0,0,0,0, 1,1, 0,0, 1,0, 1,0, 1,1,1,1,1,1,1,1,1,1,1,1]\n",
        "#node_labels = list(map(lambda node : 'r' if node == 0 else 'g', node_labels))\n",
        "output = [[-7.0196e-01, -6.8441e-01],\n",
        "        [-7.1878e-01, -6.6815e-01],\n",
        "        [-7.2843e-01, -6.5906e-01],\n",
        "        [-7.2013e-01, -6.6687e-01],\n",
        "        [-6.9284e-01, -6.9346e-01],\n",
        "        [-7.1604e-01, -6.7077e-01],\n",
        "        [-2.7555e-01, -1.4236e+00],\n",
        "        [-5.6927e-03, -5.1714e+00],\n",
        "        [-7.2458e-01, -6.6267e-01],\n",
        "        [-7.4164e-01, -6.4690e-01],\n",
        "        [-1.4926e-03, -6.5080e+00],\n",
        "        [-6.5135e-02, -2.7637e+00],\n",
        "        [-1.6991e-02, -4.0835e+00],\n",
        "        [-4.4208e-01, -1.0292e+00],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-5.5075e-05, -9.8074e+00],\n",
        "        [-3.8752e-02, -3.2699e+00],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-6.5634e-01, -7.3136e-01],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-3.8752e-02, -3.2699e+00],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-7.2063e-01, -6.6640e-01],\n",
        "        [-7.2472e-01, -6.6254e-01],\n",
        "        [-8.5906e-01, -5.5089e-01],\n",
        "        [-7.6425e-01, -6.2676e-01],\n",
        "        [-8.7084e-01, -5.4231e-01],\n",
        "        [-7.3216e-01, -6.5560e-01],\n",
        "        [-9.5935e-01, -4.8312e-01],\n",
        "        [-7.0129e-01, -6.8507e-01],\n",
        "        [-8.2021e-01, -5.8042e-01],\n",
        "        [-2.6129e+00, -7.6149e-02],\n",
        "        [-1.4436e+01, -9.5367e-07]]\n",
        "\n",
        "\n",
        "\n",
        "def draw_graph_from_nodelist(edge_index, node_labels, output = 'defult', save_name = 'defult'):\n",
        "    \n",
        "    node_labels = list(map(lambda node : 'r' if node == 0 else 'g', node_labels))\n",
        "    g = nx.from_edgelist(edge_index) \n",
        "    \n",
        "    plt.figure(figsize=(8,8))\n",
        "    if(output == 'defult'):\n",
        "        pos=nx.spring_layout(g)\n",
        "    else:\n",
        "        pos = {}\n",
        "        for i in range(len(node_labels)):\n",
        "            pos[i] = np.array(output[i])\n",
        "        \n",
        "    nx.draw_networkx_edges(g,pos,alpha=0.4)\n",
        "\n",
        "    nx.draw_networkx_nodes(g,pos,nodelist=list(range(0,len(node_labels))),node_color= list(node_labels))\n",
        "\n",
        "    nx.draw_networkx_labels(g,pos,font_size=10,font_family='sans-serif')\n",
        "\n",
        "    plt.axis('off')\n",
        "\n",
        "    plt.title(\"Networkx_Draw_Graph\")\n",
        "    if(save_name == 'defult'):\n",
        "        plt.savefig(\"Networkx_Draw_Graph.png\")\n",
        "    else:\n",
        "        plt.savefig(save_name+'.png')\n",
        "    plt.show()\n",
        "draw_graph_from_nodelist(edge_index, node_labels)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Q7w39aE8zs+eRldQS7ndgoZm9iCyUd4a/H+tsMo27bzazR1H77uvdfZuZ3R6e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\nwv8DEXXKnWgvciQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}